Key responsibilities:
Minimum of 4 years experience with SAS ideally in a clinical research environment ideally with knowledge producing outputs as well as datasets Minimum 2 years of R / R Shiny with standard packages for data visualization and analysis in aid of clinical data review in the Pharmaceutical & Biotech industry. Knowledge of SAS and SAS Macros and familiarity of CDISC data standards (ADaM / SDTM). Proficiency in ggplot2, plotly, dplyr, haven/readxl. Familiarity with JavaScript, HTML, CSS, Python a plus. Knowledge and experience applying software engineering principles. Must be capable of developing collaborative relationships with colleagues and stakeholders. Must be self-motivated and have strong analytical, interpersonal, and project management skills. Must demonstrate the ability to present ideas, issues, and observations in a clear manner
Knowledge and Skills:
R/ R Shiny with standard package visualization
Advance SAS programming
Education and Experience:
Bachelor’s degree or equivalent, preferably in a scientific discipline such as Statistics, Computer Science, Mathematics, etc. Advanced degree is strongly preferred.
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